• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.10
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• pp.4679-4688
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• 2011

This study was performed to the municipal waste generation amounts and characteristics for B city in Gangwon province, predicted the methane gas generation rate emitted from landfill, and analyzed the possibility of energy recovery to RDF(Refuse Derived Fuel) using combustible waste. The study results showed that the average bulk density of municipal waste for B city was 144.0 kg/$m^3$, and the average ratios of combustible waste were 36.0 % of paper, 21.6 % of vinyl, and 19.7 % of food waste. respectively. In the experiment for heating value, high and low heating value(moisture) was measured to 3,471 $kca{\ell}$/kg and 2,941 $kca{\ell}$/kg, respectively. After the prohibition of burying of food waste in landfill, the heating value of municipal waste was dramatically increased due to increase of the ratio of paper, vinyl, and plastic waste. The prediction results of methane gas generation rate emitted from landfill showed that the gas generation rate is increasing to 2,505.7 CH4 ton/year in 2021. After then, the rate is decreasing gradually. When the RDF facility is installed, the rate is decreasing after peaking at 1,956.9 CH4 ton/year in 2013. The generation rate of LFG emitted from waste landfill of B city was analyzed to 9.92 $m^3$/min, similar to 10.11 $m^3$/min for other city.

• Clean Technology
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• v.20 no.1
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• pp.80-87
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• 2014

Numerical study was investigated to obtain the database for developing a fast pyrolysis power boiler by waste fuel. The studies with various conditions were performed using ANSYS FLUENT. Also, the fuel properties was experimentally analyzed to utilize the input parameters for numerical analysis, that were proximate and ultimate analysis, reaction kinetics included pyrolysis and combustion. The results showed that temperature, combustion and exhausted gases was changed with heating value of fuel and feeding rate. Finally, the stable operating condition by analyzing results was proposed.

• Resources Recycling
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• v.18 no.6
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• pp.54-59
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• 2009

The level manufacturing technique for refuse derived fuel (RDF) is possible to produce them itself by a domestic process which is appropriate in Korea. However, very few facilities were used for industrial combustible waste. The objective of this research is to develop the technique for refuse plastic fuel (RPF) of industrial waste. RPFs were prepared by mixing of plastic, paper and wood based on amount of regional waste. The physical properties of the RPFs prepared were investigated. RPFs prepared at mixing ratio(plastic : paper : wood) of 87.55% : 8.15% : 4.3% show the highest lower heating values in wet-base (LHVW) and the LHVW decreases as the mixing ratio of paper and wood increases.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.6
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• pp.1209-1216
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• 2020

In this study, we propose a method for detecting coastal surface wastes using an UAV(Unmanned Aerial Vehicle) remote sensing method and an object detection algorithm based on deep learning. An object detection algorithm based on deep neural networks was proposed to detect coastal debris in aerial images. A deep neural network model was trained with image datasets of three classes: PET, Styrofoam, and plastics. And the detection accuracy of each class was compared with Darknet-53. Through this, it was possible to monitor the wastes landing on the shore by type through unmanned aerial vehicles. In the future, if the method proposed in this study is applied, a complete enumeration of the whole beach will be possible. It is believed that it can contribute to increase the efficiency of the marine environment monitoring field.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.8
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• pp.1231-1237
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• 2022

It is necessary to dynamic recognition system with real time loading height and pressure of the loading waste, the drying of wood, batteries, and plastic wastes, which are representative compositional wastes, and the carbonization changes on the surface. The dynamic context awareness service constituted a platform based on Universal Middleware system using BCN convergence communication service as a Ambient SDK model. A context awareness system should be constructed to determine the cause of the fire based on the analysis data of fermentation heat point with natural ignition from the load waste. Furthermore, a real-time dynamic service platform that could be apply to the configuration of scenarios for each type from early warning fire should be built using Universal Middleware. Thus, this issue for Internet of Things realize recognition platform for analyzing low temperature fired fire possibility data should be dynamically configured and presented.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.23 no.1
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• pp.17-26
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• 2017

In order to confirm European packaging waste statistics, this study was investigated annual variability of packaging waste generated, target of recovery and recycling rate for packaging waste and recycling rate of European countries based on Eurostat database. Eurostat is regional society statistics organization designated by European community to distribute development, production and European statistics. From 2005 to 2013, paper and paperboard packaging were generated the largest amount among the total amount of packaging waste generated during the period and the share of main packaging materials were generally constant among the packaging materials. In addition, European Union member countries have established target for the recycling rate and recycling rate for packaging waste which has been well maintained by most EU countries since the 2008 directive was enacted. The recycling rate for whole packaging waste such as glass, paper and paperboard, metal, plastic, wood continues to increase in Europe. In this study, Europe packaging waste statistics were organized and analyzed as yearly transformation of Europe packaging waste occurrence and disposal, recycling rate and recovery rate target value of Europe countries and recycling rate of each country in Europe base on centralized Eurostat database. Moreover GDP reduction were also confirmed due to trend changes and indirect impacts such as economic slump by packaging waste and recycling.

• Clean Technology
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• v.18 no.1
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• pp.111-119
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• 2012

These days many companies are trying to reduce, recycle and reuse their wastes. Even though many wastes can be recycled, those are incinerated or landfilled. To solve these problems, there are many projects to make efforts to recycle wastes in especially the industrial complexes. But, due to the absence of information about waste recycling, recyclable wastes are still incinerated or landfilled. Based on these research background, this study aims to suggest the evaluation methodology of the $CO_2$ emissions and cost reduced by circulating the industrial waste to resource. We evaluated the environmental and economic effect between companies which emit the plastic waste and organic solvent waste and use them as raw-materials in the off-line recycling information exchange network. The environmental and economic aspects were analyzed comparing waste recycling with waste incineration. By recycling the plastic waste as raw-materials, $CO_2$ emission were reduced 1,070 ton in 2009 and 1,234 ton in 2010 and 657.4 million won in 2009 and 755.0 million won in 2010 were reduced. In recycling the organic solvent waste, 7.3 ton-$CO_2$ in 2010 and 5.6 ton-$CO_2$ in 2011 were reduced and 15.9 million won in 2010 and 12.2 million won in 2011 were reduced.

• Geotechnical Engineering
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• v.13 no.2
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• pp.9-16
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• 1997

Cut-off methods of controlling leachate migration from waste landfills and contaminated sites are studied. Permeability and chemical compatibility tests are prrforlned on slurry wall materials including soil-bentonite, cement-bentonite, cement / fly ash-bentonite, plastic concrete. Hydraulic conductivity of soil-bentonite mixture is the lowest of these four bacuill materials. The leachate from municipal solid waste has little influence on the permeability of the backfill materials. The bentonite slurry becomes flocculated and aggregated when exposed to the leachate. The results of the permeability test showed that the hydraulic conductivities of the backfill materials are in the order soil-beiltonite, Plastic concrete, cement-bentonite. And the result c: the compatibility test showed increase in permeability due to the effects of leachate. Thus, in designing the slurry wall it is essential to check the behaviour of the bentonite slurry and backfill materials on the compatibility with the contaminants.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.3
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• pp.199-206
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• 2023

This study utilizes deep learning algorithms to automatically classify construction waste into three categories: wood waste, plastic waste, and concrete waste. Two models, VGG-16 and ViT (Vision Transformer), which are convolutional neural network image classification algorithms and NLP-based models that sequence images, respectively, were compared for their performance in classifying construction waste. Image data for construction waste was collected by crawling images from search engines worldwide, and 3,000 images, with 1,000 images for each category, were obtained by excluding images that were difficult to distinguish with the naked eye or that were duplicated and would interfere with the experiment. In addition, to improve the accuracy of the models, data augmentation was performed during training with a total of 30,000 images. Despite the unstructured nature of the collected image data, the experimental results showed that VGG-16 achieved an accuracy of 91.5%, and ViT achieved an accuracy of 92.7%. This seems to suggest the possibility of practical application in actual construction waste data management work. If object detection techniques or semantic segmentation techniques are utilized based on this study, more precise classification will be possible even within a single image, resulting in more accurate waste classification

• Resources Recycling
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• v.24 no.1
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• pp.43-50
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• 2015

An extensive literature survey and personal communication with relevant experts made it possible to understand economic and technical feasibility of disposable diaper recycling. Commercial level of soiled diaper recycling technology is currently available from a Dutch company, Knowaste Co., who owns a proprietary separation technology of the pulps, plastics and super absorbing polymer (SAP). In Korea, on the other hand, pre-consumer diaper recycling technology without material separation at its infancy converts manufacturing scraps into refuse plastic fuel (RPF), container/truck cargo boards or automobile boards/sheets. Although previous studies on feasibility of post-consumer recycling in Korea showed mutually contradictory implication, it was found out in this research that significantly positive economic feasibility can be obtained with pre-consumer diaper recycling. Subsequent recycling R&D including pre-consumer scrap and policy support may expedite 'Establishment of Sustainable Society.